diff --git a/pixano_inference/pytorch_models/maskrcnnv2.py b/pixano_inference/pytorch_models/maskrcnnv2.py
index 7d90d77..a096166 100644
--- a/pixano_inference/pytorch_models/maskrcnnv2.py
+++ b/pixano_inference/pytorch_models/maskrcnnv2.py
@@ -128,7 +128,7 @@ def preannotate(
                             "item_id": batch["id"][x].as_py(),
                             "view_id": view,
                             "bbox": BBox.from_xyxy(
-                                list(output["boxes"][i]),
+                                [float(coord) for coord in output["boxes"][i]],
                                 confidence=float(output["scores"][i]),
                             )
                             .normalize(h, w)
diff --git a/pixano_inference/pytorch_models/yolov5.py b/pixano_inference/pytorch_models/yolov5.py
index 8642450..32fcdd0 100644
--- a/pixano_inference/pytorch_models/yolov5.py
+++ b/pixano_inference/pytorch_models/yolov5.py
@@ -98,7 +98,8 @@ def preannotate(
                             "item_id": batch["id"][x].as_py(),
                             "view_id": view,
                             "bbox": BBox.from_xyxy(
-                                list(pred[0:4]), confidence=float(pred[4])
+                                [float(coord) for coord in pred[0:4]],
+                                confidence=float(pred[4]),
                             )
                             .normalize(h, w)
                             .to_dict(),
diff --git a/pixano_inference/segment_anything/sam.py b/pixano_inference/segment_anything/sam.py
index 25dba06..4fc22de 100644
--- a/pixano_inference/segment_anything/sam.py
+++ b/pixano_inference/segment_anything/sam.py
@@ -114,7 +114,7 @@ def preannotate(
                             "item_id": batch["id"][x].as_py(),
                             "view_id": view,
                             "bbox": BBox.from_xywh(
-                                output[i]["bbox"],
+                                [float(coord) for coord in output[i]["bbox"]],
                                 confidence=float(output[i]["predicted_iou"]),
                             )
                             .normalize(h, w)
diff --git a/pixano_inference/tensorflow_models/efficientdet.py b/pixano_inference/tensorflow_models/efficientdet.py
index e2cff33..e882ebe 100644
--- a/pixano_inference/tensorflow_models/efficientdet.py
+++ b/pixano_inference/tensorflow_models/efficientdet.py
@@ -93,10 +93,10 @@ def preannotate(
                             "view_id": view,
                             "bbox": BBox.from_xyxy(
                                 [
-                                    output["detection_boxes"][0][i][1],
-                                    output["detection_boxes"][0][i][0],
-                                    output["detection_boxes"][0][i][3],
-                                    output["detection_boxes"][0][i][2],
+                                    float(output["detection_boxes"][0][i][1]),
+                                    float(output["detection_boxes"][0][i][0]),
+                                    float(output["detection_boxes"][0][i][3]),
+                                    float(output["detection_boxes"][0][i][2]),
                                 ],
                                 confidence=float(output["detection_scores"][0][i]),
                             ).to_dict(),
diff --git a/pixano_inference/tensorflow_models/fasterrcnn.py b/pixano_inference/tensorflow_models/fasterrcnn.py
index f010629..9389c8a 100644
--- a/pixano_inference/tensorflow_models/fasterrcnn.py
+++ b/pixano_inference/tensorflow_models/fasterrcnn.py
@@ -95,10 +95,10 @@ def preannotate(
                             "view_id": view,
                             "bbox": BBox.from_xyxy(
                                 [
-                                    output["detection_boxes"][0][i][1],
-                                    output["detection_boxes"][0][i][0],
-                                    output["detection_boxes"][0][i][3],
-                                    output["detection_boxes"][0][i][2],
+                                    float(output["detection_boxes"][0][i][1]),
+                                    float(output["detection_boxes"][0][i][0]),
+                                    float(output["detection_boxes"][0][i][3]),
+                                    float(output["detection_boxes"][0][i][2]),
                                 ],
                                 confidence=float(output["detection_scores"][0][i]),
                             ).to_dict(),